Francesco Ventura

About Francesco Ventura

Francesco Ventura, With an exceptional h-index of 12 and a recent h-index of 11 (since 2020), a distinguished researcher at Politecnico di Torino, specializes in the field of Big Data, AI, Data Science, NLP, XAI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Explaining deep convolutional models by measuring the influence of interpretable features in image classification

Trusting deep learning natural-language models via local and global explanations

Farming Your ML-based Query Optimizer's Food

Farm Your ML-based Query Optimizer’s Food!–Human-Guided Training Data Generation–

Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes

Explaining the deep natural language processing by mining textual interpretable features

Expand your training limits! generating training data for ml-based data management

Explaining black-box deep neural models' predictions, behaviors, and performances through the unsupervised mining of their inner knowledge

Francesco Ventura Information

University

Position

PhD student at DAUIN -

Citations(all)

319

Citations(since 2020)

292

Cited By

107

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Francesco Ventura Skills & Research Interests

Big Data

AI

Data Science

NLP

XAI

Top articles of Francesco Ventura

Explaining deep convolutional models by measuring the influence of interpretable features in image classification

Data Mining and Knowledge Discovery

2023/2/10

Trusting deep learning natural-language models via local and global explanations

Knowledge and Information Systems

2022/7

Farming Your ML-based Query Optimizer's Food

2022/5/9

Farm Your ML-based Query Optimizer’s Food!–Human-Guided Training Data Generation–

CIDR

2022

Francesco Ventura
Francesco Ventura

H-Index: 6

Volker Markl
Volker Markl

H-Index: 34

Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes

Expert Systems with Applications

2021/11/15

Explaining the deep natural language processing by mining textual interpretable features

arXiv preprint arXiv:2106.06697

2021/6/12

Expand your training limits! generating training data for ml-based data management

2021/6/9

Explaining black-box deep neural models' predictions, behaviors, and performances through the unsupervised mining of their inner knowledge

2021/5/28

Francesco Ventura
Francesco Ventura

H-Index: 6

Predictive Analytics in Robotic Industry

Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases

2021

Francesco Ventura
Francesco Ventura

H-Index: 6

Nikolaos Nikolakis
Nikolaos Nikolakis

H-Index: 8

Discussion Paper Prompting the data transformation activities for cluster analysis on collections of documents

2020/8/4

A cloud-to-edge approach to support predictive analytics in robotics industry

Electronics

2020/3/16

Enabling predictive analytics for smart manufacturing through an IIoT platform

IFAC-PapersOnLine

2020/1/1

See List of Professors in Francesco Ventura University(Politecnico di Torino)

Co-Authors

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